Jules Tilly
Impact in
- Artificial Intelligence top 2%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
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- Quantum and electron transport phenomena
- Quantum many-body systems
- Quantum Mechanics and Applications
Papers in
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- Quantum Information and Cryptography 5
- Quantum Computing Algorithms and Architecture 4
- Neural Networks and Reservoir Computing 2
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- Quantum and electron transport phenomena 1
- Quantum Mechanics and Applications 1
- Co-authors
- Edward Grant (2 shared papers)Hongxiang Chen (3 shared papers)Leonard Wossnig (3 shared papers)Ying Li (2 shared papers)Dario Picozzi (2 shared papers)Ivan Rungger (3 shared papers)Kanav Setia (2 shared papers)Shuxiang Cao (3 shared papers)
- Journals
- Physical review. A (2 papers)Physics Reports (1 paper)Quantum Science and Technology (1 paper)The Journal of Chemical Physics (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United KingdomSouth SudanSwitzerland
In The Last Decade
Jules Tilly
6 papers receiving 723 citations
Jules Tilly's Hit Papers
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 563
- Atomic and Molecular Physics, and Optics 359
- Computational Theory and Mathematics 106
- Statistical and Nonlinear Physics 29
- Computational Mathematics 1
Countries citing papers authored by Jules Tilly
This map shows the geographic impact of Jules Tilly's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jules Tilly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jules Tilly more than expected).
Fields of papers citing papers by Jules Tilly
This network shows the impact of papers produced by Jules Tilly. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jules Tilly. The network helps show where Jules Tilly may publish in the future.
Co-authors
The 25 scholars most cited alongside Jules Tilly, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The Variational Quantum Eigensolver: A review of methods and best practices Hit paper breakdown → | 2022 | 616 |
| 2 | A foundation model for atomistic materials chemistry Hit paper breakdown → | 2025 | 45 |
| 3 | 2022 | 38 | |
| 4 | 2020 | 24 | |
| 5 | 2024 | 6 | |
| 6 | 2021 | 6 |
About Jules Tilly
Jules Tilly is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Materials Chemistry, having authored 6 papers that have together received 735 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (5 papers), Quantum Computing Algorithms and Architecture (4 papers), Neural Networks and Reservoir Computing (2 papers), Quantum-Dot Cellular Automata (1 paper), Quantum and electron transport phenomena (1 paper), Noncommutative and Quantum Gravity Theories (1 paper), Machine Learning in Materials Science (1 paper) and Quantum Mechanics and Applications (1 paper). The work is most often cited by research in Artificial Intelligence (563 citations), Atomic and Molecular Physics, and Optics (359 citations), Computational Theory and Mathematics (106 citations), Statistical and Nonlinear Physics (29 citations) and Computational Mathematics (1 citation). Jules Tilly has collaborated with scholars based in United Kingdom, South Sudan and Switzerland. Frequent co-authors include Edward Grant, Hongxiang Chen, Leonard Wossnig, Ying Li, Dario Picozzi, Ivan Rungger, Kanav Setia, Shuxiang Cao, Jonathan Tennyson and George H. Booth. Their work appears in journals such as Physical review. A, Physics Reports, Quantum Science and Technology, The Journal of Chemical Physics and arXiv (Cornell University).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.